Identifying feedback mechanisms behind complex cell behavior
Schmidt, H.
Jacobsen, E.W.
R. Inst. of Technol., Stockholm, Sweden;
This paper appears in: Control Systems Magazine, IEEE
Publication Date: Aug. 2004
Volume: 24,
Issue: 4
On page(s): 91- 102
ISSN: 0272-1708
INSPEC Accession Number: 8033300
Digital Object Identifier: 10.1109/MCS.2004.1316656
Current Version Published: 2004-07-26
Abstract
Interactions among genes, proteins, and metabolites generate most of the central functions of the living cell. These interactions take place in highly complex biochemical networks, often involving hundreds of components and reactions. Exposing the connection between the individual components, such as genes, and the overall behavior of the network requires a systems approach based on dynamic models of the network. In this article, the author illustrates how a simple linear systems analysis can be used to analyze the role of various components in generating complex dynamic behavior in biochemical networks. The approach is used to identify the most important proteins and mutual interactions involved in the cell cycle in frog eggs and sustained oscillations of glycolysis in yeast. The approach is applicable to large-scale network models that can be developed in the near future based on high throughput data on a genomic and proteomic scale.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
